AI in Healthcare: Governance, Risk & Strategic Adoption Training Course

Course overview

AI tools are already influencing patient care: flagging risks, reading scans, drafting notes, prioritising resources. But while adoption accelerates, the governance, regulatory, and risk frameworks around healthcare AI are still catching up. So, who approves an AI tool for clinical use? Who is liable when it fails? How do you ensure compliance with evolving regulations?

‘AI in Healthcare: Governance, Risk & Strategic Adoption’ is a one-day course designed for professionals in healthcare governance, compliance, legal, regulatory, risk management, and senior leadership roles. No technical background required.

The course builds a practical understanding of AI before diving into what matters most for oversight roles: the regulatory landscape, algorithmic bias and health equity, liability and accountability, institutional governance structures, due diligence, and strategic adoption planning.

The day begins with core AI concepts, demystifying terms like machine learning, natural language processing, and large language models in plain, clinically relevant language. From there, participants explore real-world applications across the care continuum: AI-driven risk stratification and screening in preventive medicine, diagnostic support in radiology and pathology, clinical decision support at the bedside, and intelligent workflow tools that reduce administrative burden.

A dedicated session addresses the critical issues of bias, equity, data privacy, and the ethical responsibilities that come with algorithmic medicine. Participants will engage in exercises evaluating AI tools, interpreting model outputs, and identifying when to trust and, importantly, when to question algorithmic recommendations.

The course closes with a forward-looking discussion on emerging trends, regulatory frameworks, and strategies for integrating AI responsibly within healthcare systems.

This course is part of our Regulatory Affairs Training course collection, which features updates on the latest regulations to registration procedures and strategies.

Benefits of attending

By attending this course, delegates will:

• Gain a clear understanding of AI applications in healthcare and the implications for governance, compliance, and risk oversight
• Understand the evolving regulatory, legal, and ethical landscape surrounding AI in healthcare, including accountability, liability, and data protection obligations
• Learn how to critically assess AI tools and vendor claims to support informed approval, procurement, and oversight decisions
• Grasp the risks associated with healthcare AI, including algorithmic bias, patient safety, explainability, and equity concerns
• Identify practical strategies and governance frameworks to support the responsible, compliant, and strategic adoption of AI across healthcare organisations

Who is this training for

This course is designed for professionals involved in the governance, regulation, oversight, and strategic implementation of AI in healthcare, including:

• Healthcare compliance and governance professionals
• Legal and regulatory specialists in healthcare organisations
• Risk managers and patient safety leads
• Data protection officers and information governance professionals
• Hospital executives, senior managers, and board members
• Digital transformation and health informatics leaders
• Policy makers and advisors involved in healthcare regulation and strategy

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